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MFX - 2025

2025Activity reportProject-Team​​MFX

RNSR: 201822795D
  • Research​​​‌ center Inria Centre at‌ Université de Lorraine
  • In‌​‌ partnership with:Université de​​ Lorraine
  • Team name: Matter​​​‌ from Graphics
  • In collaboration‌ with:Laboratoire lorrain de‌​‌ recherche en informatique et​​ ses applications (LORIA)

Creation​​​‌ of the Project-Team: 2019‌ November 01

Each year,‌​‌ Inria research teams publish​​ an Activity Report presenting​​​‌ their work and results‌ over the reporting period.‌​‌ These reports follow a​​ common structure, with some​​​‌ optional sections depending on‌ the specific team. They‌​‌ typically begin by outlining​​ the overall objectives and​​​‌ research programme, including the‌ main research themes, goals,‌​‌ and methodological approaches. They​​ also describe the application​​​‌ domains targeted by the‌ team, highlighting the scientific‌​‌ or societal contexts in​​ which their work is​​​‌ situated.

The reports then‌ present the highlights of‌​‌ the year, covering major​​ scientific achievements, software developments,​​​‌ or teaching contributions. When‌ relevant, they include sections‌​‌ on software, platforms, and​​ open data, detailing the​​​‌ tools developed and how‌ they are shared. A‌​‌ substantial part is dedicated​​ to new results, where​​​‌ scientific contributions are described‌ in detail, often with‌​‌ subsections specifying participants and​​​‌ associated keywords.

Finally, the​ Activity Report addresses funding,​‌ contracts, partnerships, and collaborations​​ at various levels, from​​​‌ industrial agreements to international​ cooperations. It also covers​‌ dissemination and teaching activities,​​ such as participation in​​​‌ scientific events, outreach, and​ supervision. The document concludes​‌ with a presentation of​​ scientific production, including major​​​‌ publications and those produced​ during the year.

Keywords​‌

Computer Science and Digital​​ Science

  • A5.5.1. Geometrical modeling​​​‌
  • A5.5.2. Rendering
  • A8.3. Geometry,​ Topology

1 Team​​​‌ members, visitors, external collaborators​

Research Scientists

  • Sylvain Lefebvre​‌ [Team leader,​​ INRIA, Senior Researcher​​​‌, HDR]
  • Xavier​ Chermain [INRIA,​‌ ISFP]
  • Jonas Martinez​​ Bayona [INRIA,​​​‌ Researcher]
  • Camille Schreck​ [INRIA, ISFP​‌]

Faculty Members

  • Cedric​​ Zanni [UL,​​​‌ Associate Professor Delegation,​ from Sep 2025]​‌
  • Cedric Zanni [UL​​, Associate Professor,​​​‌ until Aug 2025]​

Post-Doctoral Fellows

  • Eric Garner​‌ [INRIA, Post-Doctoral​​ Fellow, until Nov​​​‌ 2025]
  • Charline Grenier​ [UL, Post-Doctoral​‌ Fellow]
  • Rebekka Vaarum​​ Woldseth [INRIA,​​​‌ Post-Doctoral Fellow]

PhD​ Students

  • Giovanni Cocco [​‌INRIA]
  • Marco Freire​​ [UL, ATER​​​‌, until Aug 2025​]
  • Clément Magniez [​‌UL, from Apr​​ 2025]
  • Luis Mollericon​​​‌ Titirico [INRIA]​
  • Damien Simon [INRIA​‌, from Jul 2025​​]
  • Damien Simon [​​​‌INRIA, from Apr​ 2025 until Jun 2025​‌]

Technical Staff

  • Vincent​​ Belle [INRIA,​​​‌ Engineer]
  • Pierre-Alexandre Hugron​ [INRIA, Engineer​‌, until Feb 2025​​]
  • Lucas Ochocinski [​​​‌INRIA, Engineer]​
  • Yamil Salim Perchy Bocanegra​‌ [INRIA, Engineer​​]

Interns and Apprentices​​​‌

  • Alois Lemaux [UL​, Intern, until​‌ Jun 2025]
  • Jolan​​ Muneaux [UL,​​​‌ Intern, from Sep​ 2025]
  • Antonin Rousseau​‌ [INRIA, Intern​​, from Mar 2025​​​‌ until Sep 2025]​
  • Thibaut Vebret [UL​‌, from Sep 2025​​]

Administrative Assistants

  • Antoinette​​​‌ Courrier [CNRS]​
  • Emmanuelle Deschamps [INRIA​‌]
  • Gallown Nizard [​​UL]
  • Cecilia Olivier​​​‌ [INRIA]

2​ Overall objectives

Digital fabrication​‌ has had a profound​​ impact on most industries.​​​‌ It allows complex products​ to be modeled in​‌ Computer Assisted Design (CAD)​​ software and then sent​​​‌ to Computer-Aided Manufacturing (CAM)​ devices that physically produce​‌ the products. Typical CAM​​ devices are computer-controlled lathes​​​‌ and milling machines that​ are ubiquitous in mass-production​‌ chains, along with injection​​ molding and assembly robots.​​​‌ The design of a​ new product requires a​‌ large pool of expertise​​ consisting of highly skilled​​​‌ engineers and technicians at​ all stages: design, CAD​‌ modeling, fabrication, and assembly​​ chains.

With CAM technologies,​​​‌ the advent of Additive​ Manufacturing (AM) (i.e., 3D​‌ printing) and powerful and​​ inexpensive computational resources let​​​‌ us envision a different​ scenario. In particular, these​‌ technologies excel where traditional​​ approaches find their limitations:​​​‌

  • Parts with complex geometry​ can be fabricated in​‌ a single production run,​​ and in most situations,​​ the cost is not​​​‌ significantly impacted by the‌ geometric complexity.
  • The cost-per-unit‌​‌ for fabricating an object​​ is constant and significantly​​​‌ lower than producing a‌ small series of objects‌​‌ with traditional means. However,​​ it is not competitive​​​‌ on a mass-production scale‌ where the cost-per-unit decreases‌​‌ as the number of​​ produced units increases.
  • The​​​‌ machine setup is largely‌ independent of the object‌​‌ being fabricated, and thus,​​ these technologies can be​​​‌ made available through generic‌ 3D printing companies and‌​‌ online print services. Additionally,​​ the machines are significantly​​​‌ easier to operate than‌ traditional fabrication means. This‌​‌ makes them accessible to​​ the general public and​​​‌ well-suited for rapid design‌ iterations and prototyping.

 

Consequently,‌​‌ designing and producing parts​​ with short development cycles​​​‌ becomes possible: physical objects‌ are uniquely and efficiently‌​‌ fabricated from digital models.​​ Each object can be​​​‌ personalized for a specific‌ use or customer. The‌​‌ core difficulty in this​​ context lies in how​​​‌ to model the parts,‌ and this remains a‌​‌ significant obstacle as functional​​ and manufacturability constraints have​​​‌ to be enforced. By‌ functional constraint, we refer‌​‌ here to some desired​​ behavior in terms of​​​‌ rigidity, weight, balance, porosity,‌ or other physical properties.‌​‌ This is especially important​​ as AM allows the​​​‌ fabrication of extremely complex‌ shapes, the scales of‌​‌ which vary from a​​ few microns to a​​​‌ few meters. All this‌ pushes AM well beyond‌​‌ traditional means of production​​ and enables the concept​​​‌ of metamaterials; materials‌ where parameterized microstructures change‌​‌ the behavior of a​​ base shape fabricated from​​​‌ a single material.

Exploiting‌ this capability turns the‌​‌ modeling difficulties into acute​​ challenges. With such a​​​‌ quantity of details modeling‌ becomes intractable, and specifying‌​‌ the geometry with standard​​ tools becomes daunting, even​​​‌ for experts. Besides, these‌ details have to interact‌​‌ in subtle and specific​​ ways to achieve the​​​‌ final functionality (e.g., flexibility,‌ porosity) while enforcing fabrication‌​‌ constraints. On the process​​ planning side (i.e., the​​​‌ set of computations turning‌ the part into printing‌​‌ instructions), large parts filled​​ with microstructures, porosities, and​​​‌ intricate multi-scale details quickly‌ lead to huge data‌​‌ sets and numerical issues.​​

We aim to develop​​​‌ novel approaches enabling experts‌ and practitioners to exploit‌​‌ AM's advantages fully. We​​ aim to achieve this​​​‌ by developing novel algorithms‌ automatically synthesizing or completing‌​‌ designs with functional details.​​ We consider the entire​​​‌ chain, from modeling to‌ geometry processing, to optimize‌​‌ 3D printer instructions.

3​​ Research program

We focus​​​‌ on the computational aspects‌ of shape modeling and‌​‌ processing for digital fabrication:​​ dealing with shape complexity,​​​‌ revisiting design and customization‌ of existing parts given‌​‌ the novel possibilities afforded​​ by AM, and providing​​​‌ a stronger integration between‌ modeling and the capabilities‌​‌ of the target processes.​​

We tackle the following​​​‌ challenges:

  • develop novel shape‌ synthesis and shape completion‌​‌ algorithms that can help​​ users model shapes with​​​‌ features in the scale‌ of microns to meters‌​‌ while following functional, structural,​​ geometric, and fabrication requirements;​​​‌
  • propose methodologies to help‌ expert designers describe shapes‌​‌ and designs that can​​​‌ later be customized and​ adapted to different use​‌ cases;
  • develop novel algorithms​​ to adapt and prepare​​​‌ complex designs for fabrication​ with a given technology,​‌ including the possibility to​​ modify aspects of the​​​‌ design while preserving its​ functionality;
  • develop novel techniques​‌ to unlock the full​​ potential of fabrication processes​​​‌, improving their versatility​ in terms of feasible​‌ shapes as well as​​ their capabilities in terms​​​‌ of accuracy and quality​ of deposition;
  • develop novel​‌ shape representations, data-structures, visualization,​​ and interaction techniques to​​​‌ support the integration of​ our approaches into a​‌ single, unified software framework​​ that covers the full​​​‌ chain from modeling to​ printing instructions;
  • integrate novel​‌ capabilities enabled by advances​​ in additive manufacturing processes​​​‌ and materials in the​ modeling and processing chains​‌, in particular regarding​​ the use of functional​​​‌ materials (e.g., piezoelectric, conductive,​ shrinkable).

Our approach is​‌ to cast a holistic​​ view on the challenges​​​‌ above by considering modeling​ and fabrication as a​‌ single, unified process. Thus,​​ the modeling techniques we​​​‌ seek to develop will​ consider the geometric constraints​‌ imposed by the manufacturing​​ processes (minimal thickness, overhang​​​‌ angles, trapped material) and​ the desired object functionality​‌ (rigidity, porosity). To allow​​ for the modeling of​​​‌ complex shapes and adapt​ the same initial design​‌ to different technologies, we​​ propose developing techniques that​​​‌ can automatically synthesize functional​ details within parts. At​‌ the same time, we​​ will explore ways to​​​‌ increase the manufacturing processes'​ versatility through algorithms capable​‌ of exploiting additional degrees​​ of freedom, introducing new​​​‌ capabilities, and improving part​ accuracy.

Our research program​‌ is organized along with​​ three main research directions.​​​‌ The first focuses on​ the automatic synthesis of​‌ shapes with intricate multi-scale​​ geometries conforming to the​​​‌ constraints of additive manufacturing​ technologies. The second direction​‌ considers geometric and algorithmic​​ techniques for the actual​​​‌ fabrication of the modeled​ object. We aim to​‌ further improve the manufacturing​​ processes' capabilities with novel​​​‌ deposition strategies. The third​ direction focuses on computational​‌ design algorithms to help​​ model parts with a​​​‌ gradient of properties and​ help customize existing designs​‌ for their reuse.

These​​ three research directions interact​​​‌ strongly and cross-pollinate: e.g.,​ novel possibilities in manufacturing​‌ unlock novel possibilities in​​ terms of shapes that​​​‌ can be synthesized. Stronger​ synthesis methods allow for​‌ further customization.

4 Application​​ domains

4.1 Digital Manufacturing​​​‌

Our work addresses generic​ challenges related to fabrication​‌ and can thus be​​ applied in a wide​​​‌ variety of contexts. Our​ aim is first and​‌ foremost to develop the​​ algorithms that will allow​​​‌ variously industrial sectors to​ benefit more strongly from​‌ the potential of AM.​​ To enable this, we​​​‌ seek collaborations with crucial​ industry partners developing software​‌ and AM systems for​​ a variety of processes​​​‌ and materials that are​ of interest to specific​‌ sectors (e.g., dental, prosthetic,​​ automotive, aerospace).

4.2 Medical​​​‌ Applications

To allow for​ faster transfer of our​‌ techniques and unlock novel​​ applications, we actively seek​​​‌ to develop applications in​ the medical sector. In​‌ particular, we are involved​​ in a project around​​ the design of orthoses,​​​‌ which explores how our‌ research on elasticity control‌​‌ through microstructure geometries can​​ be specifically applied to​​​‌ the medical sector.

5‌ Social and environmental responsibility‌​‌

5.1 Footprint of research​​ activities

Our environmental footprint​​​‌ is limited. We use‌ various products for 3D‌​‌ printing but in small​​ quantities, and have put​​​‌ in place all required‌ measures for recycling and‌​‌ disposal.

5.2 Impact of​​ research results

We make​​​‌ our software IceSL freely‌ available to the public‌​‌ and have continued this​​ year to document its​​​‌ features, organize tutorials and‌ presentations (e.g. at 3DPrint‌​‌ Paris), as well as​​ animate the IceSL community​​​‌ through the official mailing‌ list. With this, we‌​‌ hope to encourage adoption​​ of our research and​​​‌ maximize its impact, in‌ particular by encouraging its‌​‌ use within the maker​​ communities.

A longer-term strategy​​​‌ of the team is‌ to help develop potential‌​‌ uses of our technique​​ in different fields. This​​​‌ is for instance a‌ key motivation for our‌​‌ participation in the DORNELL​​ challenge, that seeks to​​​‌ improve devices helping people‌ with mobility impairments.

The‌​‌ exploratory action AEX CONTINUA​​ emphasizes applications using 3D​​​‌ printing technology to construct‌ large-scale structures to safeguard‌​‌ marine habitats vulnerable to​​ rising temperatures due to​​​‌ global warming. We have‌ an ongoing collaboration with‌​‌ researchers of CNRS (Serge​​ Planes) and ENS Ulm​​​‌ (Emmanuel Dormy) that seeks‌ to tackle this particular‌​‌ problem in the case​​ of coral reefs.

6​​​‌ Highlights of the year‌

6.1 Awards

  • Atomizer 14‌​‌ received an Honorable Mention​​ at the Symposium on​​​‌ Geometry Processing (SGP) 2025.‌
    Figure 1

    Atomizer Honorable Mention

    Figure‌​‌ 1: Atomizer Honorable​​ Mention
  • Clément Magniez, PhD​​​‌ student within the team,‌ received the best paper‌​‌ award and won the​​ ShaderToy competition at the​​​‌ national Computer Graphics conference‌ Journées Française de l'Informatique‌​‌ Graphique 2025

7 Latest​​ software developments, platforms, open​​​‌ data

7.1 Latest software‌ developments

7.1.1 IceSL

  • Keyword:‌​‌
    Additive manufacturing
  • Scientific Description:​​
    IceSL is the software​​​‌ developed within MFX, that‌ serves as a research‌​‌ platform, a showcase of​​ our research results, a​​​‌ test bed for comparisons‌ and a vector of‌​‌ collaborations with both academic​​ and industry partners. The​​​‌ software is freely available‌ both as a desktop‌​‌ (Windows/Linux) and as an​​ online version.
  • Functional Description:​​​‌
    IceSL allows users to‌ model complex shapes through‌​‌ CSG boolean operations. Objects​​ can be directly prepared​​​‌ and sent to a‌ 3D printer for fabrication,‌​‌ without the need to​​ compute an intermediate 3D​​​‌ mesh.
  • News of the‌ Year:

    IceSL's current stable‌​‌ version is 2.5.4. It​​ has accumulated more than​​​‌ 180k downloads between stable/beta‌ and Windows/Linux releases. Linux/Windows‌​‌ share of downloads is​​ 30% / 70% respectively.​​​‌ The IceSL web portal‌ gathers all useful resources‌​‌ (doc, download links, features,​​ etc.), as well as​​​‌ our online tools. The‌ web slicer and web‌​‌ printer are used, respectively,​​ 23 and 20 times​​​‌ per day on average.‌ The online modeler has‌​‌ created and sliced more​​ than 300 geometries since​​​‌ its inception on February‌ 2024.

    Important milestones throughout‌​‌ 2025 for IceSL are,​​​‌ (1) a methodology and​ implementation (through plugins) that​‌ minimizes cross-contamination in multi-material​​ prints, (2) a complete​​​‌ CI/CD pipeline attached to​ all IceSL components (desktop​‌ – windows and linux​​ – and online builds),​​​‌ and, (3) refined implementation​ of curved-slicing and refactor​‌ of user parameters (video​​ tutorial included).

  • URL:
  • Contact:
    Sylvain Lefebvre

7.1.2​ Silice

  • Name:
    Silice
  • Keywords:​‌
    FPGA, Programming
  • Functional Description:​​
    Silice makes it possible​​​‌ to write algorithms for​ FPGAs in the same​‌ way we write them​​ for processors: defining sequences​​​‌ of operations, subroutines that​ can be called, and​‌ using control flow statements​​ such as while and​​​‌ break. At the same​ time, Silice lets you​‌ fully exploit the parallelism​​ and niceties of FPGA​​​‌ architectures, describing operations and​ algorithms that run in​‌ parallel and are always​​ active, as well as​​​‌ pipelines. Silice remains close​ to the hardware: nothing​‌ gets obfuscated away. When​​ writing an algorithm you​​​‌ are in control of​ what happens at which​‌ clock cycle, with predictable​​ rules for flow control.​​​‌ Clock domains are exposed.​ In fact, Silice compiles​‌ to and inter-operates with​​ Verilog: you can directly​​​‌ instantiate and bind with​ existing modules.
  • Release Contributions:​‌
    2021 version.
  • News of​​ the Year:
    This year​​​‌ Silice continued to develop​ and mature. The latest​‌ features were merged from​​ the development branch to​​​‌ master, with several improvements​ and bug fixes. The​‌ installation was upgraded, including​​ switching to YoWASP under​​​‌ MinGW / Windows systems,​ facilitating the use of​‌ Silice in classrooms. ASIC​​ projects submitted to TinyTapeout​​​‌ shuttles 7 and 8​ were confirmed as working,​‌ validating 3 different on-chip​​ designs.
  • URL:
  • Contact:​​​‌
    Sylvain Lefebvre

7.2 New​ platforms

Participants: Pierre-Alexandre Hugron​‌, Salim Perchy,​​ Vincent Belle, Lucas​​​‌ Ochocinski.

MFX continued​ its presence and participation​‌ within the Creativ'Lab, which​​ is operated by Loria​​​‌ and funded by Inria,​ Loria, CNRS and Région​‌ Grand Est.

Platform reorganization​​ Following the arrival of​​​‌ new PhDs, Vincent Belle​ completely reorganized the filament​‌ printing lab within the​​ Creativ'Lab. He reassessed which​​​‌ machines were being actively​ used in the workshop,​‌ and stored others to​​ free necessary space.

All​​​‌ the Material storage were​ reviewed as well, in​‌ order to cut the​​ unused material and limit​​​‌ wastage. Additionally, the filament​ recycler has been re-enabled​‌ in order to explore​​ material refurbishing capabilities.

Non-planar​​​‌ printing Following the non-planar​ work last year, a​‌ new machine has been​​ designed, alongside the firmware​​​‌ and the kinematic, to​ further the development of​‌ non planar slicing softwares.​​ This machine has been​​​‌ then upgraded to enable​ a wider range of​‌ non planar printing. These​​ upgrades were then added​​​‌ to a github repository​ in order to widespread​‌ open sourced the project​​ for the maker community.​​​‌ It was also carried​ by a research paper,​‌ which was presented at​​ SCF 2025 in Boston:​​​‌ “Towards Accessible Non-Planar FFF​ Using Triple Z-Axis Kinematics”,​‌ written by Giovanni Coco​​ et al. here

Maintenance​​​‌ and upgrades All the​ printer's maintenance has been​‌ performed. All filament printers​​ have been maintained and​​ properly cared for (minor​​​‌ repairs, Firmware updates, lubrications,‌ cleaning nozzle, beds, chassis,‌​‌ belt adjustment, axis maintenance).​​ All resin printers have​​​‌ been maintained as well‌ (film replacement, filter checks,‌​‌ screws control).

Our clay​​ printer and laser cutter​​​‌ also had maintenance operations‌ performed.

The tensile strength‌​‌ machine has been repaired​​ and is now fully​​​‌ operational. A faulty sensor‌ has been changed and‌​‌ calibrations have been performed.​​

Work space safety We​​​‌ are continuously focusing on‌ improving the safety of‌​‌ operation in the printing​​ rooms. In 2025, Sylvain​​​‌ Lefebvre and Vincent Belle‌ followed an electrical safety‌​‌ protocols formation to operate​​ around low voltage machinery:​​​‌ “Habilitation Électrique pour des‌ opérations simples ou d'ordre‌​‌ non électrique BS, BE​​ - ERTF:.”Xavier Chermain​​​‌ attended a fire safety‌ training.

Scientific public outreach‌​‌ With the aim of​​ sharing the knowledge developed​​​‌ within the team, the‌ MFX printing workshops were‌​‌ presented multiple times during​​ the year:

  • Inria maker​​​‌ network in April,
  • researchers‌ in July,
  • University administration‌​‌ (rectorate) in September,
  • intern​​ in November.

7.3 Open​​​‌ data

8 New results‌

8.1 Atomizer: Beyond Non-Planar‌​‌ Slicing for Fused Filament​​ Fabrication

Participants: Xavier Chermain​​​‌, Giovanni Cocco,‌ Cedric Zanni, Eric‌​‌ Garner, Pierre-Alexandre Hugron​​, Sylvain Lefebvre.​​​‌

We introduced Atomizer,‌ a toolpath generation method‌​‌ for fused filament fabrication​​ (FFF) that moves beyond​​​‌ the traditional layer-based slicing‌ paradigm. Instead of generating‌​‌ trajectories from a sequence​​ of planar or non-planar​​​‌ slices, Atomizer distributes oriented‌ volumetric elements (“atoms”) inside‌​‌ the object volume, optimizing​​ their spacing and orientation​​​‌ while remaining faithful to‌ the target geometry. A‌​‌ fabrication plan is then​​ produced by computing a​​​‌ collision-free traversal of these‌ atoms, yielding toolpaths that‌​‌ conform to curved surfaces,​​ fill narrow features down​​​‌ to a single path,‌ and enable new deposition‌​‌ strategies such as locally​​ printing vertical structures before​​​‌ transitioning elsewhere. The approach‌ also supports appearance-driven constraints,‌​‌ enabling anisotropic surface finishes​​ on curved geometries.

This​​​‌ work was published in‌ Computer Graphics Forum (Proceedings‌​‌ of SGP 2025) 14​​ and presented at the​​​‌ Symposium on Geometry Processing‌ 2025 by Xavier Chermain‌​‌ .

Figure 2

Atomizer reduces geometric​​ deviations.

Figure 2:​​​‌ Compared to non-planar slicers‌ (top row), Atomizer (bottom‌​‌ row) reduces geometric deviations​​ from the input 3D​​​‌ model and improves the‌ quality of the printed‌​‌ surface. This improvement is​​ achieved by moving beyond​​​‌ the concept of slices‌ and instead extracting the‌​‌ toolpath from evenly spaced​​ atoms.

8.2 Double QuickCurve:​​​‌ revisiting 3-axis non-planar 3D‌ printing

Participants: Emilio Ottonello‌​‌, Pierre-Alexandre Hugron,​​ Alberto Parmiggiani, Sylvain​​​‌ Lefebvre.

In 2025‌ we continued our efforts‌​‌ to improve and provide​​ efficient techniques compatible with​​​‌ current slicing technologies, while‌ simultaneously exploring entirely novel‌​‌ technique such as Atomizer​​ above. Double QuickCurve is​​​‌ the latest entry in‌ this line of research‌​‌ ; it results from​​ a collaboration with IIT​​​‌ Italy (Istituto Italiano‌ di Tecnologia). The‌​‌ main originality is to​​ optimize for two (non-planar)​​​‌ slicing surfaces, one aligning‌ with top surfaces, one‌​‌ aligning with bottom surfaces.​​​‌ This gives rise by​ interpolation to a family​‌ of slicing surfaces, then​​ used to extract curved​​​‌ deposition trajectories.

This result​ was published as a​‌ EUROGRAPHICS short paper in​​ 2025 16 and is​​​‌ fully integrated in our​ slicing software IceSL.

Figure 3

Double​‌ QuickCurve is an efficient​​ approach to produce non-planar​​​‌ slices.

Figure 3:​ Double QuickCurve is an​‌ efficient approach to produce​​ non-planar slices following top​​​‌ and bottom surfaces. It​ optimizes for slicing surface​‌ (left, top and bottom),​​ then used to slice​​​‌ (cut) the 3D shape​ into layers (middle). This​‌ results in non-planar deposition​​ trajectories (right).

8.3 Towards​​​‌ Accessible Non-Planar FFF Using​ Triple Z-Axis Kinematics

Participants:​‌ Giovanni Cocco, Eric​​ Garner, Vincent Belle​​​‌, Cédric Zanni,​ Xavier Chermain.

We​‌ proposed a low-cost approach​​ to non-planar fused filament​​​‌ fabrication (FFF) that makes​ 5-axis printing more accessible​‌ on standard desktop machines.​​ The key idea is​​​‌ to tilt the print​ bed using three independently​‌ actuated Z-axes (“3Z”), requiring​​ only minimal hardware modifications​​​‌ (notably extending rails and​ bed screws), while avoiding​‌ the cost and complexity​​ of robotic arms. We​​​‌ derive the 3Z kinematic​ model with closed-form solutions​‌ and provide an open-source​​ Python implementation that maps​​​‌ 3D toolpaths to machine​ commands. We further analyze​‌ the achievable build volume,​​ sensitivity to mechanical tolerances,​​​‌ and practical aspects of​ trajectory interpolation in machine​‌ space, and we validate​​ the approach experimentally with​​​‌ non-planar prints reaching bed​ tilts up to 30​‌ degrees.

This work was​​ published at the ACM​​​‌ Symposium on Computational Fabrication​ (SCF '25) 15 and​‌ presented at SCF 2025​​ (Cambridge, MA, USA) by​​​‌ Giovanni Cocco and Vincent​ Belle .

Figure 4

Three independent​‌ Z-axes printer.

Figure 4​​: We propose to​​​‌ extend the capabilities of​ printers with three independent​‌ Z-axes, enabling a transition​​ from planar to non-planar​​​‌ deposition. The required modification​ is minimal, involving only​‌ an extension of the​​ bed screws and rails.​​​‌ We implemented this modification​ on the Ratrig V-Core​‌ 3.1, illustrated with its​​ sliding balls (blue) moving​​​‌ along planar rails (red).​ This ball-on-rail system enables​‌ precise non-planar printing (right).​​

8.4 Improving Curl Noise​​​‌

Participants: Andreas Bærentzen,​ Jonàs Martínez, Jeppe​‌ Revall Frisvad, Sylvain​​ Lefebvre.

In collaboration​​​‌ with DTU (Technical University​ of Denmark) researchers, we​‌ introduced a divergence-free nD​​ vector noise defined as​​​‌ the n-dimensional cross product​ of the gradients of​‌ n - 1 noise​​ functions. Our method enables​​​‌ precise integration and extends​ to new settings by​‌ substituting noise functions with​​ implicit surfaces, (hyper)surfaces, or​​​‌ custom functions. We demonstrated​ applications including image warping,​‌ surface texturing, noise bounded​​ by implicit surfaces, anisotropic​​​‌ curl-noise, and high-dimensional point​ jittering up to 7D.​‌

This work was published​​ in the conference proceedings​​​‌ of Siggraph Asia 2025​ 17.

Figure 5

Overview of​‌ Curl Noise Jittering

Figure​​ 5: The luminous​​​‌ filaments are stream curves​ integrated along a divergence-free​‌ vector noise field. From​​ left to right, the​​​‌ curves are computed using​ (a) plain Euler integration​‌ (300 steps), (b) Euler​​ integration with our reprojection​​ method (300 steps), and​​​‌ (c) fourth-order Runge-Kutta also‌ with our reprojection method‌​‌ (600 steps, half step​​ length). The last method​​​‌ is far more precise,‌ yet (b) and (c)‌​‌ are nearly indistinguishable.

8.5​​ Cage-based deformation of field​​​‌ functions

Participants: Charline Grenier‌, Kévin Trancho,‌​‌ Clément Magniez, Cédric​​ Zanni, Loïc Barthe​​​‌.

Implicit geometry is‌ a popular representation for‌​‌ shape modelling. It provides​​ several interesting properties, such​​​‌ as infinite resolution, continuity‌ and smooth blending. However,‌​‌ implicit surfaces are difficult​​ to deform as deformations​​​‌ need to be invertible.‌ They are in general‌​‌ restricted to linear representations​​ or more advanced translation-based​​​‌ deformations. We propose a‌ method that adapts cage-based‌​‌ deformation to implicit surfaces​​ while handling self-intersections in​​​‌ the deformed space.

This‌ work was presented as‌​‌ a Eurographics poster 19​​.

8.6 Improving spatial​​​‌ domain repetition of implicit‌ surfaces

Participants: Clément Magniez‌​‌, Cédric Zanni.​​

Implicit surfaces offer distinct​​​‌ advantages over traditional boundary‌ representations, including infinite resolution,‌​‌ low memory footprint, smooth​​ geometry by construction, and​​​‌ support for non-destructive modeling.‌ In this work, we‌​‌ introduce a method for​​ localizing geometric detail in​​​‌ a way that preserves‌ the mathematical properties required‌​‌ for accurate and efficient​​ rendering using sphere tracing.​​​‌ Our contributions include novel‌ procedural modeling techniques that‌​‌ expand the range of​​ repetition patterns achievable in​​​‌ implicit surfaces; an interpolation-based‌ approach that maintains field‌​‌ correctness while remaining computationally​​ efficient; and a cache-based​​​‌ acceleration strategy that significantly‌ improves the rendering performance‌​‌ of domain-repeated implicit geometries.​​

This work was presented​​​‌ at Journées Française de‌ l'Informatique Graphique (Edition 2025)‌​‌ where it received the​​ best paper award.

8.7​​​‌ 3D printed capacitive sensing‌

Participants: Jose Eduardo Aguilar-Segovia‌​‌, Fabien Grzeskowiak,​​ Maxime Manzano, Sylvain​​​‌ Guégan, Ronan Le‌ Breton, Alice Farhi-Rivasseau‌​‌, Sylvain Lefebvre,​​ Marie Babel.

We​​​‌ explore augmenting parts with‌ sensors fabricated in-situ, i.e.‌​‌ directly within the part,​​ using functional materials deposited​​​‌ at the same time‌ as the structural materials.‌​‌ However, achieving this goal​​ at low cost remains​​​‌ challenging. This work investigates‌ the design of parametric‌​‌ capacitive sensors that can​​ be embedded in complex​​​‌ designs. The sensors can‌ be manufactured on multi-material‌​‌ extrusion 3D printers using​​ commercially available non-conductive and​​​‌ conductive thermoplastic polyurethane.

The‌ results of this project‌​‌ are published in the​​ international journal IEEE Sensors​​​‌12. This is‌ joint work lead by‌​‌ the RAINBOW team, the​​ LGCGM and the MFX​​​‌ team. This focuses on‌ challenges relating to the‌​‌ PhD thesis of Eduardo​​ Aguilar-Segovia and the DORNELL​​​‌ Inria challenge.

Figure 6

A functional‌ joystick printed as a‌​‌ single multi-material part.

Figure​​ 6: A functional​​​‌ joystick printed as a‌ single multi-material part, embedding‌​‌ capacitive sensors. Flexible dielectric​​ and conductive filaments are​​​‌ used to produce both‌ the structural flexibility and‌​‌ the internal traces and​​ sensors, effectively forming a​​​‌ 3D printed flexible electronic‌ device.

9 Bilateral contracts‌​‌ and grants with industry​​

9.1 Bilateral contracts with​​​‌ industry

Partnership with AddUp‌

Participants: Sylvain Lefebvre.‌​‌

  • Company: AddUp.
  • Duration: Started​​​‌ in 2019.
  • Abstract: AddUp​ is a French manufacturer​‌ of metal 3D printers​​ for high-end industrial applications.​​​‌ We announced during FormNext​ 2019 (November) a partnership​‌ towards the creation of​​ new software technologies. This​​​‌ partnership continued to develop​ in 2025 with the​‌ Master research internship of​​ Antonin Rousseau, funded by​​​‌ AddUp within MFX.
Other​ industrial partnership

Participants: Sylvain​‌ Lefebvre.

  • Company: S.A.M.​​ Link
  • Duration: Started in​​​‌ 2023.
  • Abstract: The startup​ S.A.M. Signature Authentification des​‌ Matériaux develops additive manufacturing​​ solutions for authentication, security​​​‌ and traceability. Sylvain Lefebvre​ is scientific advisor for​‌ the startup in the​​ context of a technology​​​‌ transfer. In 2025 the​ startup received two prizes:​‌ Prix Innovation & Meilleure​​ Avancée Technologique, 3DPRINT Lyon​​​‌ (June 2025); Prix​ de la Meilleure Avancée​‌ Technologique, Conférence France Additive​​ (July 2025).

10​​​‌ Partnerships and cooperations

10.1​ International research visitors

10.1.1​‌ Visits of international scientists​​

Andreas Bærentzen and Jeppe​​​‌ Frisvad
  • Status
    Researchers.
  • Institution​ of origin:
    Technical University​‌ of Denmark (DTU).
  • Country:​​
    Denmark.
  • Dates:
    November 27-28.​​​‌
  • Context of the visit:​
    Joint work on curl​‌ noise, preparing a funding​​ proposal.
  • Mobility program/type of​​​‌ mobility:
    Research visit, seminar.​

10.1.2 Visits to international​‌ teams

Giovanni Cocco and​​ Vincent Belle
  • Visited institution:​​​‌
    Boston University.
  • Country:
    USA.​
  • Dates:
    November 17-19.
  • Context​‌ of the visit:
    Collaboration​​ with Edward Chien’s team​​​‌ at Boston University.
  • Mobility​ program/type of mobility:
    Research​‌ stay.

10.2 European initiatives​​

10.2.1 Horizon Europe

KARST​​​‌

KARST project on cordis.europa.eu​

  • Title:
    KARST: Predicting flow​‌ and transport in complex​​ Karst systems
  • Duration:
    From​​​‌ May 1, 2023 to​ April 30, 2029
  • Partners:​‌
    • Institut National De Recherche​​ En Informatique Et Automatique​​​‌ (Inria), France
    • Agencia Estatal​ Consejo Superior De Investigaciones​‌ Cientificas (CSIC), Spain
    • Universite​​ De Neuchatel (UNINE), Switzerland​​​‌
    • Simon Fraser University (SFU),​ Canada
    • IFP Energies nouvelles​‌ (IFPEN), France
    • Univerza V​​ Ljubljani (UL), Slovenia
  • Inria​​​‌ contact:
    Sylvain Lefevre
  • Coordinator:​
  • Summary:

    Karst aquifers are​‌ a treasure and a​​ threat: while up to​​​‌ 25% of the world​ population depends on them​‌ for drinking water, they​​ also have capabilities for​​​‌ extremely fast conduction of​ water and contaminants. In​‌ the light of climate​​ change, we need to​​​‌ prepare for extreme flooding​ and understand the consequences​‌ for karst aquifers. Despite​​ their socio-economic importance, decades​​​‌ of research, and high-profile​ disasters, karst structures and​‌ processes remain notoriously difficult​​ to assess. Because of​​​‌ the complexity of karst​ and its lack of​‌ accessibility, the foundations of​​ flow and transport modeling​​​‌ in karst systems are​ weak. Key phenomena related​‌ to extreme events such​​ as flash floods and​​​‌ heavy tails in tracer​ recovery are still beyond​‌ current modeling capabilities.

    KARST​​ will establish the next​​​‌ generation of coupled stochastic​ modeling frameworks to predict​‌ karst processes, assess the​​ vulnerability of karst aquifers,​​​‌ and forecast their response​ to extreme events. Our​‌ approach will bridge structures​​ and processes on all​​​‌ scales, far beyond the​ capabilities of current theories​‌ and computer simulations. This​​ will be achieved by​​​‌ targeting three key objec-​ tives: (i) Identification and​‌ quantification of flow and​​ transport dynamics at the​​ conduit scale. (ii) Characterization​​​‌ and modeling of karst‌ network structure at the‌​‌ catchment scale. (iii) Derivation​​ of a new upscaled​​​‌ approach to predict karst‌ processes at different resolution‌​‌ scales. Together, this will​​ result in an unprecedented​​​‌ multiscale modeling framework for‌ the prediction of flow‌​‌ and transport in karst.​​

    Solving this long-standing problem​​​‌ is possible thanks to‌ the synergy of the‌​‌ KARST PI team combining​​ the set of skills​​​‌ and knowledge (hydrogeology, physics,‌ mathematics) required to make‌​‌ a ground-breaking step in​​ this field. Beyond that,​​​‌ the new approach is‌ expected to impact other‌​‌ real-world systems in medicine​​ (capillary networks), neuroscience (brain​​​‌ microcirculation) or glaciology (meltwater‌ flow in glaciers).

  • Activity‌​‌ in 2025:

    In the​​ context of the KARST​​​‌ project, we designed and‌ printed around 90 parts‌​‌ in different materials. This​​ level of production is​​​‌ more important than the‌ previous year (almost x3),‌​‌ aiming at improving the​​ fluid testing installation assembled​​​‌ by the KARST team‌ at IFPEN (Paris). We‌​‌ work closely with the​​ partners of the KARST​​​‌ project to find a‌ way to enhance the‌​‌ design of each cave​​ and moreover to increase​​​‌ the production speed even‌ if the parts are‌​‌ totally handmade and cannot​​ be automatized. The printed​​​‌ parts are modular and‌ can be rapidly adjusted‌​‌ to iterate as the​​ installation is refined.

    Two​​​‌ workshops were organized and‌ attended for the purpose‌​‌ of project coordination, sharing​​ of results and future​​​‌ work preparation. These workshops‌ also provided context on‌​‌ many topics external to​​ computer science (geology, network​​​‌ quantification):

    • KARST Workshop Barcelona,‌ Spain - 03-05 June,‌​‌ 2025. (The works were​​ presented by Salim Perchy)​​​‌
    • KARST Workshop Rueil-Malmaison, France‌ - 12-14 November, 2025.‌​‌ (The works were presented​​ by Lucas Ochocinski)

10.3​​​‌ National initiatives

ANR ANISO‌

Participants: Xavier Chermain,‌​‌ Sylvain Lefebvre, Giovanni​​ Cocco, Vincent Belle​​​‌, Eric Garner.‌

  • Acronym: ANISO.
  • Title: Anisotropic‌​‌ Appearance Fabrication With High-Resolution​​ and Spatially Varying Orientations​​​‌
  • Duration: October 2024 –‌ October 2028.
  • Coordinator: Xavier‌​‌ Chermain.
  • Abstract: Brushed finishes​​ are widely used in​​​‌ architecture, large and small‌ appliances, etc. ANISO aims‌​‌ to develop new digital​​ and manufacturing technologies to​​​‌ produce customized and innovative‌ anisotropic surface finishes. The‌​‌ aim is to go​​ beyond unidirectional and circular​​​‌ surface finishes by allowing‌ the designer to choose‌​‌ the brushing orientation for​​ all surface positions. This​​​‌ freedom makes it possible‌ to design customized and‌​‌ complex anisotropic appearances. Fabricating​​ anisotropic appearances on 3D​​​‌ surfaces with arbitrary, spatially‌ varying, high-definition orientations remains‌​‌ an open problem. We​​ target glossy materials: metals​​​‌ (e.g., aluminum, silver, and‌ gold), plastics (e.g., PETG‌​‌ and PLA), and glass.​​ ANISO’s key idea is​​​‌ to use manufacturing processes‌ that directly produce anisotropic‌​‌ surface roughness: Fused Filament​​ Fabrication (FFF) and surface​​​‌ brushing. We plan to‌ develop an algorithm that‌​‌ generates orientable, space-filling trajectories​​ to control the direction​​​‌ of anisotropy at each‌ point. Open-source software will‌​‌ be developed to interactively​​ design and visualize anisotropic​​​‌ appearances with spatially variable‌ directions to democratize the‌​‌ manufacture of this type​​​‌ of appearance. ANISO will​ enable Industry 4.0 to​‌ customize surface finishes and​​ make them unique. Customization​​​‌ will be achieved using​ a single material that​‌ does not require paint​​ or chemicals, making recycling​​​‌ easier. In addition, the​ surface finish of injection​‌ molding could be impacted​​ by ANISO, enabling Industry​​​‌ 4.0 to produce customized​ parts and unique visuals​‌ on a large scale.​​
  • Activity in 2025:
    We​​​‌ hired Vincent Belle as​ a research engineer for​‌ the project in November.​​ Eric Garner was hired​​​‌ as a postdoctoral researcher​ from June to November.​‌ As part of the​​ ANISO project, we published​​​‌ two articles 14,​ 15. Atomizer 14​‌ was presented by Xavier​​ Chermain at the Symposium​​​‌ on Geometry Processing in​ Bilbao, and the 3Z​‌ kinematic model 15 was​​ presented by Giovanni Cocco​​​‌ and Vincent Belle at​ the Symposium on Computational​‌ Fabrication in Boston.
Région​​ Grand Est – ANISO​​​‌ (regional funding support)

Participants:​ Xavier Chermain, Sylvain​‌ Lefebvre, Giovanni Cocco​​, Vincent Belle,​​​‌ Eric Garner.

  • Funding​ body: Région Grand Est.​‌
  • Project: ANISO (support to​​ the ANR ANISO project).​​​‌
  • Amount: 58 500 euros.​
  • Period: 2025 – 2028​‌
  • Summary: This regional funding​​ supported the acceleration of​​​‌ the ANISO research program​ on the fabrication of​‌ customized anisotropic surface finishes​​ with high-resolution and spatially​​​‌ varying orientations. The support​ contributed to strengthening the​‌ project's engineering capacity through​​ human resources.
  • Activity in​​​‌ 2025:
    50% of the​ PhD funding of Giovanni​‌ Cocco is supported by​​ this grant.
ANR MultiForm​​​‌

Participants: Cédric Zanni.​

  • Acronym: MultiForm.
  • Title: Multivariate​‌ Implicit Function Deformation.
  • Duration:​​ 2023-2026.
  • Coordinator: Loïc Barthe.​​​‌
  • Partners: Université Paul Sabatier,​ Ecole Polytechnique
  • Abstract: This​‌ project aims at developing​​ theoretical aspects of 3D​​​‌ field functions in computer​ graphics: 3D animation and​‌ the representation of complex​​ multi-material virtual objects. An​​​‌ innovative aspect is the​ study of multivalued field​‌ functions and their deformations​​ in this context. Practically,​​​‌ it aims at providing​ more efficient new solutions​‌ for both the deformation​​ of animated 3D objects​​​‌ with collisions, and the​ representation of complex structures​‌ composed of several materials​​ such as organic (muscular,​​​‌ bones, soft tissues) or​ liquid/solid structures (as a​‌ lava flow). The final​​ goal being the deformations​​​‌ with collisions of these​ complex structures.
  • Activity in​‌ 2025:
    We hired Clément​​ Magniez as a PhD​​​‌ candidate and host Charline​ Grenier as a postdoctoral​‌ researcher. Ongoing work includes​​ free-form deformation of implicit​​​‌ surfaces and improved control​ for procedural implicit surfaces.​‌

10.3.1 Inria

Inria Exploratory​​ Action CONTINUA

Participants: Jonàs​​​‌ Martínez, Luis Mollericon​.

  • Acronym: AEx CONTINUA.​‌
  • Title: Continuous deposition of​​ paste-like materials.
  • Duration: 2022-2026.​​​‌
  • Coordinator: Jonàs Martínez.
  • Abstract:​ Additive Manufacturing (AM) using​‌ paste-like materials such as​​ clay or silicon enables​​​‌ the construction of large-scale​ structures but poses significant​‌ challenges for intricate geometries.​​ During the manufacturing process,​​​‌ there is a heightened​ risk of structural collapse​‌ under gravity, leading to​​ defects caused by repeated​​​‌ interruptions in extrusion flow.​ Previous efforts have primarily​‌ focused on simpler structures,​​ failing to harness the​​ full potential of AM.​​​‌ AEx CONTINUA aims to‌ explore the realm of‌​‌ manufacturable deposition paths to​​ empower the Additive Manufacturing​​​‌ of large-scale, complex structures,‌ addressing the inherent challenges‌​‌ and pushing the boundaries​​ of AM capabilities.
  • Activity​​​‌ in 2025:
    We had‌ an article accepted to‌​‌ the CMAME journal for​​ publication in 2026, synthesizing​​​‌ the doctoral work of‌ Luis Mollericon Titirico in‌​‌ collaboration with Ole Sigmund​​ from DTU, Denmark.
Inria​​​‌ Challenge DORNELL

Participants: Sylvain‌ Lefebvre, Pierre-Alexandre Hugron‌​‌, Camille Schreck,​​ David Jourdan, Vincent​​​‌ Belle.

  • Acronym: DORNELL‌
  • Title: A multimodal, shapeable‌​‌ haptic handle for mobility​​ assistance of people with​​​‌ disabilities.
  • Duration: 2022-2026.
  • Coordinator:‌ Marie Babel.
  • Partners: Inria‌​‌ MFX, POTIOC.
  • Abstract: While​​ technology helps people to​​​‌ compensate for a broad‌ set of mobility impairments,‌​‌ visual perception and/or cognitive​​ deficiencies still significantly affect​​​‌ their ability to move‌ safely and easily. DORNELL‌​‌ proposes an innovative multisensory,​​ multimodal, smart haptic handle​​​‌ that can be easily‌ plugged onto a wide‌​‌ range of mobility aids.​​ Specifically fabricated to fit​​​‌ the needs of a‌ person, it provides a‌​‌ wide set of tactile​​ sensations in a portable​​​‌ and plug-and-play format –‌ bringing haptics in assistive‌​‌ technologies all at once.​​
  • Activity in 2025:
    The​​​‌ focus in 2025 has‌ been on finalizing and‌​‌ publishing latest results, which​​ lead to new publications​​​‌ 12, 13.‌

11 Dissemination

11.1 Promoting‌​‌ scientific activities

11.1.1 Scientific​​ events: selection

Xavier Chermain​​​‌ participated in the ANR‌ symposium “FABRIQUER DEMAIN, les‌​‌ systèmes productifs acteurs du​​ changement” (6 May 2025,​​​‌ Arts et Métiers –‌ ENSAM).

Chair of conference‌​‌ program committees
  • Camille Schreck​​ was co-chair of the​​​‌ Journées de l'AFIG 2025‌ best paper award (as‌​‌ YRF EGFR).
Member of​​ the conference program committees​​​‌
  • Camille Schreck was a‌ member of the international‌​‌ program committee of SIGGRAPH​​ 2025.
  • Sylvain Lefebvre was​​​‌ a member of the‌ international program committee of‌​‌ SGP 2025.
Reviewer
  • Camille​​ Schreck was a reviewer​​​‌ for Computer Graphics International‌ (CGI 2025), SIGGRAPH Asia‌​‌ 2025, and Computer Graphics​​ Forum.
  • Cédric Zanni was​​​‌ a reviewer for Computer‌ Aided Design.
  • Xavier Chermain‌​‌ was a reviewer for​​ SIGGRAPH 2025 and SIGGRAPH​​​‌ Asia 2025.
  • Jonàs Martínez‌ was reviewer for SIGGRAPH‌​‌ 2025, SIGGRAPH Asia 2025,​​ and Pacific Graphics 2025.​​​‌
  • Sylvain Lefebvre was a‌ reviewer for SIGGRAPH 2025‌​‌ and SIGGRAPH Asia 2025.​​

11.1.2 Journal

Reviewer -​​​‌ reviewing activities
  • Xavier Chermain‌ was a reviewer for‌​‌ Computer Graphics Forum (CGF).​​
  • Giovanni Cocco was a​​​‌ reviewer for the Journal‌ of Computer Graphics Techniques‌​‌ (JCGT).
  • Jonàs Martínez was​​ reviewer for TVCG, ACM​​​‌ ToG, and CAD journal.‌

11.1.3 Invited talks

  • Marco‌​‌ Freire gave invited talks​​ at the Informatique Géométrique​​​‌ et Graphique team, ICUBE‌ (Strasbourg, France), at the‌​‌ G-Mod team, Laboratoire d'Informatique​​ et Systèmes (Marseille, France),​​​‌ and at the ANIMA‌ and MAVERICK team, Laboratoire‌​‌ Jean Kuntzmann / Centre​​ Inria de l'UGA (Grenoble,​​​‌ France).
  • Jonàs Martínez gave‌ an invited talk at‌​‌ the MEMOCS workshop of​​ 2025 with the theme​​​‌ "Methods in Metamaterials design:‌ mathematical modelling, numerical techniques,‌​‌ experiments" (Arpino, Italy).
  • Sylvain​​​‌ Lefebvre was invited to​ contribute a class during​‌ a summer school at​​ CISM (Centre International​​​‌ de Science des Matériaux​), Udine, Italy. The​‌ summer school was organized​​ by a group of​​​‌ scientists ranging from physics,​ material science to geometry​‌ and Computer Graphics. More​​ information can be found​​​‌ here

11.1.4 Leadership within​ the scientific community

Xavier​‌ Chermain mentored an early-career​​ researcher from the GdR​​​‌ IG-RV in the preparation​ of ANR JCJC proposals.​‌

11.1.5 Scientific expertise

Jonàs​​ Martínez was code reviewer​​​‌ for the Graphics Replicability​ Stamp Initiative (GRSI).

11.1.6​‌ Research administration

  • Camille Schreck​​ was member of the​​​‌ center comittee of the​ Inria center of the​‌ Lorraine University.
  • Sylvain Lefebvre​​ presided the Comité de​​​‌ Sélection for the professor​ recruitment at Ecole des​‌ Mines of Nancy, Lorraine​​ University (PR27 Mines).
  • Sylvain​​​‌ Lefebvre is a member​ of the Bureau du​‌ Comité des Projets of​​ the Inria center.

11.2​​​‌ Teaching - Supervision -​ Juries - Educational and​‌ pedagogical outreach

  • License: Marco​​ Freire, Programming projects, 15.7h​​​‌ ETD, Université de Lorraine,​ France
  • License: Marco Freire,​‌ Introduction to discrete mathematics,​​ 52.5h ETD, Université de​​​‌ Lorraine, France
  • License: Marco​ Freire, Memory management, 10.7h​‌ ETD, Université de Lorraine,​​ France
  • License: Marco Freire,​​​‌ Graphical interfaces, 16h ETD,​ Université de Lorraine, France​‌
  • License : Cédric Zanni,​​ Introduction to Computer Science,​​​‌ 31.5h ETD, L3, École​ des Mines de Nancy,​‌ France.
  • Preparatory classes: Xavier​​ Chermain , Nouveaux paradigmes​​​‌ de programmation et science​ des données, 64h ETD,​‌ prépa INP Nancy, France.​​
  • Master: Camille Schreck, Introduction​​​‌ to 3D Graphics, 26h​ ETD, Telecom Nancy, France.​‌
  • Master: Camille Schreck, 3D​​ Graphics and Parallelism, 12h​​​‌ ETD, ENSG Nancy, France.​
  • Master: Cédric Zanni, Software​‌ Engineering, 31.5h ETD, M1,​​ École des Mines de​​​‌ Nancy, France.
  • Master: Cédric​ Zanni, Introduction to C/C++,​‌ 54h ETD, M1, École​​ des Mines de Nancy,​​​‌ France.
  • Master: Cédric Zanni,​ Techniques for video game​‌ programming, 27h ETD, M1,​​ École des Mines de​​​‌ Nancy, France.
  • Master: Cédric​ Zanni, ARTEM Game Lab,​‌ 16h ETD, M1, École​​ des Mines de Nancy,​​​‌ France.
  • Master: Jonàs Martínez,​ AMA (GPU) course, 28h​‌ ETD, TELECOM Nancy, France.​​
  • Master: Jonàs Martínez, Introduction​​​‌ to data parallelism, 36h​ ETD, Université de Lorraine,​‌ France.
  • Master: Sylvain Lefebvre,​​ Hardware design on FPGA,​​​‌ 12h ETD, Telecom Nancy,​ France.

11.2.1 Supervision

  • Xavier​‌ Chermain co-supervised Giovanni Cocco​​ (PhD student), and attended​​​‌ the professional training “Accompagner​ et encadrer une doctorante​‌ ou un doctorant”.​​
  • Research initiation: Jolan Muneau​​​‌ . Sparse ternary and​ n-ary blobtree traversal. Advisor:​‌ Cédric Zanni - from​​ 09/2025 to 06/2026.
  • Xavier​​​‌ Chermain was the scientific​ supervisor of the in-lab​‌ project carried out by​​ Thibaut Vebret (Mines Nancy​​​‌ – 2nd year):​ “Digital twin of a​‌ 5-axis fused-filament 3D printer”​​. The project was​​​‌ co-advised with Vincent Belle​ .
  • Xavier Chermain supervised​‌ a team of five​​ students from the preparatory​​​‌ school (prépa INP Nancy)​ on a software development​‌ project dedicated to the​​ implementation of Phasor noise​​​‌ (procedural noise generation), including​ qualitative evaluation.

11.2.2 Juries​‌

  • Jonàs Martínez was examiner​​ of the thesis of​​ Siyuan He at ENPC,​​​‌ France.
  • Sylvain Lefebvre was‌ oponnent (rapporteur)‌​‌ on the PhD committee​​ of Lubna Abu Rmaileh​​​‌ (Fraunhofer IGD, Norwegian University‌ of Science and Technology‌​‌ (NTNU)).

11.2.3 Doctoral committees​​

  • Sylvain Lefebvre was on​​​‌ the thesis advisory committee‌ (comité de suivi‌​‌ de thèse) of​​ Wilhem Barbier (Toulouse University)​​​‌
  • Sylvain Lefebvre was on‌ the thesis advisory committee‌​‌ (comité de suivi​​ de thèse) of​​​‌ Julien Soumier (Lorraine University).‌
  • Sylvain Lefebvre was on‌​‌ the thesis advisory committee​​ (comité de suivi​​​‌ de thèse) of‌ Ghilain Bergeron (Lorraine University).‌​‌
  • Sylvain Lefebvre was on​​ the thesis advisory committee​​​‌ (comité de suivi‌ de thèse) of‌​‌ Andrea Tummolo (Rennes University).​​
  • Jonàs Martínez was on​​​‌ the thesis advisory committee‌ (comité de suivi‌​‌ de thèse) of​​ Niels Cobat (Rennes University).​​​‌

11.3 Popularization

11.3.1 Specific‌ official responsibilities in science‌​‌ outreach structures

  • Salim Perchy​​ hosted the first Rencontre​​​‌ Thématique: Maker of 2025.‌
    • This event was attended‌​‌ by a group of​​ SED engineers (Service d'experimentation​​​‌ et développement) from several‌ Inria centers.
    • Several talks,‌​‌ demos and ateliers of​​ fabrication and especially 3D​​​‌ printing were part of‌ the program.

11.3.2 Productions‌​‌ (articles, videos, podcasts, serious​​ games, ...)

  • Video tutorial​​​‌ made by Salim Perchy‌ about curved-slicing in IceSL‌​‌

11.3.3 Participation​​ in Live events

  • IceSL​​​‌ training (June 2025) for‌ Inria Montpellier. 2 Days;‌​‌ Modeling Functions & Printing​​ Parameters. Conceived and animated​​​‌ by Salim Perchy.

11.3.4‌ Others science outreach relevant‌​‌ activities

  • Salim Perchy attended​​ and presented at the​​​‌ biannual meeting of ERC‌ Synergy project Open KARTS.‌​‌ 5 days, June 2025​​
  • Vincent Belle and Xavier​​​‌ Chermain were speakers at‌ the CARDIE day (Cellule‌​‌ Académique Recherche Développement Innovation​​ et Expérimentation du Rectorat)​​​‌ – 25 September 2025.‌

12 Scientific production

12.1‌​‌ Major publications

  • 1 article​​M.Marc Alexa,​​​‌ K.Kristian Hildebrand and‌ S.Sylvain Lefebvre.‌​‌ Optimal discrete slicing.​​ACM Transactions on Graphics​​​‌361February 2017‌, 1 - 16‌​‌HALDOI
  • 2 article​​M.Melike Aydinlilar and​​​‌ C.Cédric Zanni.‌ Fast ray tracing of‌​‌ scale-invariant integral surfaces.​​Computer Graphics Forum40​​​‌6September 2021,‌ 117-134HALDOI
  • 3‌​‌ articleJ.Jérémie Dumas​​, J.Jean Hergel​​​‌ and S.Sylvain Lefebvre‌. Bridging the Gap:‌​‌ Automated Steady Scaffoldings for​​ 3D Printing.ACM​​​‌ Transactions on Graphics33‌4July 2014,‌​‌ 98:1 - 98:10HAL​​DOI
  • 4 articleJ.​​​‌Jimmy Etienne, N.‌Nicolas Ray, D.‌​‌Daniele Panozzo, S.​​Samuel Hornus, C.​​​‌ C.Charlie C.L. Wang‌, J.Jonàs Martínez‌​‌, S.Sara Mcmains​​, M.Marc Alexa​​​‌, B.Brian Wyvill‌ and S.Sylvain Lefebvre‌​‌. CurviSlicer: Slightly curved​​ slicing for 3-axis printers​​​‌.ACM Transactions on‌ Graphics384August‌​‌ 2019, 1–11HAL​​DOI
  • 5 articleS.​​​‌Samuel Hornus, T.‌Tim Kuipers, O.‌​‌Olivier Devillers, M.​​Monique Teillaud, J.​​​‌Jonàs Martínez, M.‌Marc Glisse, S.‌​‌Sylvain Lazard and S.​​​‌Sylvain Lefebvre. Variable-width​ contouring for additive manufacturing​‌.ACM Transactions on​​ Graphics394 (Proc.​​​‌ SIGGRAPH)July 2020HAL​DOI
  • 6 articleA.​‌An Lu, S.​​Sylvain Lefebvre, J.​​​‌Jérémie Dumas, J.​Jun Wu and C.​‌Christian Dick. By-example​​ synthesis of structurally sound​​​‌ patterns.ACM Transactions​ on Graphics2015HAL​‌DOI
  • 7 articleJ.​​Jonàs Martínez, J.​​​‌Jérémie Dumas and S.​Sylvain Lefebvre. Procedural​‌ Voronoi Foams for Additive​​ Manufacturing.ACM Transactions​​​‌ on Graphics352016​, 1 - 12​‌HALDOI
  • 8 article​​J.Jonàs Martínez,​​​‌ J.Jérémie Dumas,​ S.Sylvain Lefebvre and​‌ L.-Y.Li-Yi Wei.​​ Structure and appearance optimization​​​‌ for controllable shape design​.ACM Transactions on​‌ Graphics346November​​ 2015, 12HAL​​​‌DOI
  • 9 articleJ.​Jonàs Martínez, S.​‌Samuel Hornus, H.​​Haichuan Song and S.​​​‌Sylvain Lefebvre. Polyhedral​ Voronoi diagrams for additive​‌ manufacturing.ACM Transactions​​ on Graphics374​​​‌August 2018, 15​HALDOI
  • 10 article​‌J.Jonàs Martínez,​​ H.Haichuan Song,​​​‌ J.Jérémie Dumas and​ S.Sylvain Lefebvre.​‌ Orthotropic k-nearest foams for​​ additive manufacturing.ACM​​​‌ Transactions on Graphics36​4July 2017,​‌ 121:1--121:12HALDOI
  • 11​​ articleT.Thibault Tricard​​​‌, V.Vincent Tavernier​, C.Cédric Zanni​‌, J.Jonàs Martínez​​, P.-A.Pierre-Alexandre Hugron​​​‌, F.Fabrice Neyret​ and S.Sylvain Lefebvre​‌. Freely orientable microstructures​​ for designing deformable 3D​​​‌ prints.ACM Transactions​ on GraphicsDecember 2020​‌HALDOI

12.2 Publications​​ of the year

International​​​‌ journals

International​‌ peer-reviewed conferences

Conferences​​​‌ without proceedings

Reports & preprints

Other scientific publications‌